Pro Deep Learning with TensorFlow 2.0 : A Mathematical Approach to Advanced Artificial Intelligence in Python
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FeedbackPro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in PythonProduct DescriptionFrom the Back Cover This book builds upon the foundations established in its first edition, with updated chapters and the latest code implementations to bring it up to date with Tensorflow 2.0.Pro Deep Learning with TensorFlow 2.0 begins with the mathematical and core technical foundations of deep learning. Next, you will learn about convolutional neural networks, including new convolutional methods such as dilated convolution, depth-wise separable convolution, and their implementation. Youll then gain an understanding of natural language processing in advanced network architectures such as transformers and various attention mechanisms relevant to natural language processing and neural networks in general. As you progress through the book, y.
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Details:Pro Deep Learning with TensorFlow 2.0 : A Mathematical Approach to Advanced Artificial Intelligence in Python
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FeedbackPro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in PythonProduct DescriptionFrom the Back Cover This book builds upon the foundations established in its first edition, with updated chapters and the latest code implementations to bring it up to date with Tensorflow 2.0.Pro Deep Learning with TensorFlow 2.0 begins with the mathematical and core technical foundations of deep learning. Next, you will learn about convolutional neural networks, including new convolutional methods such as dilated convolution, depth-wise separable convolution, and their implementation. Youll then gain an understanding of natural language processing in advanced network architectures such as transformers and various attention mechanisms relevant to natural language processing and neural networks in general. As you progress through the book, y.
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FeedbackPro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in PythonProduct DescriptionFrom the Back Cover This book builds upon the foundations established in its first edition, with updated chapters and the latest code implementations to bring it up to date with Tensorflow 2.0.Pro Deep Learning with TensorFlow 2.0 begins with the mathematical and core technical foundations of deep learning. Next, you will learn about convolutional neural networks, including new convolutional methods such as dilated convolution, depth-wise separable convolution, and their implementation. Youll then gain an understanding of natural language processing in advanced network architectures such as transformers and various attention mechanisms relevant to natural language processing and neural networks in general. As you progress through the book, y.
Product Specifications
General | |
|---|---|
format | paperback |
Language | eng |
type | textbook |
Size | 2.0 |
Brand | APress |
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